HR Analytics - Concepts and Tools for Effective Decision Making

This DIXONTECH programme empowers HR professionals to apply data-driven insights for smarter, evidence-based decision-making. It explores the principles of HR analytics, from data collection and interpretation to advanced visualization and predictive modeling. Participants will learn to use analytics tools to optimize recruitment, performance, retention, and workforce planning. By integrating HR metrics with business outcomes, delegates gain the confidence to transform people data into actionable strategies that drive organizational performance and strategic alignment.

TRAINING TOPICS

• Fundamentals of HR Analytics and Data-Driven HR
• Building and Interpreting HR Metrics and KPIs
• Data Collection, Cleansing, and Validation Techniques
• Dashboards, Visualization, and Reporting Tools
• Predictive Analytics and Strategic Decision-Making

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

• Apply analytical tools and frameworks to enhance HR and business performance.
• Identify and define relevant HR metrics and indicators
• Analyze workforce data to uncover patterns and insights
• Build interactive dashboards using analytics tools
• Apply predictive techniques for workforce planning
• Evaluate HR program effectiveness and ROI
• Translate data insights into strategic recommendations
• Strengthen HR’s strategic role through analytics

TRAINING IS TAILORED TO

• HR professionals, analysts, and leaders seeking to use data for decision-making and strategy.
• HR Managers and Business Partners
• HR Analysts and Data Specialists
• Workforce Planning and Strategy Managers
• Talent Management and OD Professionals
• Compensation and Benefits Analysts
• HR Consultants and Advisors
• Learning and Development Managers

TRAINING METHODOLOGY

The DIXONTECH methodology integrates data labs, visualization workshops, and case-driven exercises. Participants will work hands-on with HR datasets, simulate dashboards, and interpret analytics outputs. The course blends theory with practical application using Excel, Power BI, and Google Data Studio examples, ensuring participants develop both technical and strategic analytical capabilities.

DAY 1

Introduction to HR Analytics and Data-Driven HR

• Understanding HR analytics and its strategic importance
• The shift from traditional HR to evidence-based HR
• Key components of the HR analytics framework
• Aligning HR analytics with organizational goals
• Identifying stakeholders and data requirements
• Building analytical capability within the HR function

DAY 2

Building and Interpreting HR Metrics and KPIs

• Designing effective HR performance metrics
• Selecting KPIs aligned with HR strategy and business goals
• Measuring recruitment, retention, and engagement performance
• Balancing operational and strategic metrics
• Avoiding common errors in metric development
• Using metrics for executive reporting and insights

DAY 3

Data Collection, Cleansing, and Validation Techniques

• Collecting reliable HR data from multiple sources
• Ensuring data integrity and consistency
• Cleaning, validating, and preparing HR datasets
• Using Excel and HRIS for data structuring and analysis
• Managing missing data and outlier detection
• Establishing HR data governance and confidentiality standards

DAY 4

Dashboards, Visualization, and Reporting Tools

• Principles of effective data visualization
• Building HR dashboards using Power BI and Google Data Studio
• Creating charts and visuals that tell a story
• Automating HR reports for executive use
• Presenting HR analytics results persuasively
• Transforming data into clear strategic messages

DAY 5

Predictive Analytics and Strategic Decision-Making

• Applying predictive modeling to HR trends
• Forecasting turnover, recruitment, and engagement outcomes
• Using correlation and regression analysis in HR data
• Linking HR analytics to business and financial results
• Communicating insights to senior leaders effectively
• Building a culture of data-driven HR strategy